Statistical Modelling For Forecasting Pm10 Concentrations In Peninsular Malaysia
This research aims to forecast the daily average PM10 concentrations in Peninsular Malaysia by using univariate modelling, i.e. time series modelling and regression modelling. In time series analysis, a typical problem in forecasting is the underestimation of the peaks. Since the series of PM10 conc...
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| Format: | Thèse |
| Langue: | anglais |
| Publié: |
2017
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| Accès en ligne: | http://eprints.usm.my/47826/ |